Upload README.md with huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
|
4 |
+
license: gemma
|
5 |
+
datasets:
|
6 |
+
- anthracite-org/stheno-filtered-v1.1
|
7 |
+
base_model: google/gemma-2-2b-it
|
8 |
+
|
9 |
+
---
|
10 |
+
|
11 |
+

|
12 |
+
|
13 |
+
# QuantFactory/Gemma-2-2B-Stheno-Filtered-GGUF
|
14 |
+
This is quantized version of [SaisExperiments/Gemma-2-2B-Stheno-Filtered](https://huggingface.co/SaisExperiments/Gemma-2-2B-Stheno-Filtered) created using llama.cpp
|
15 |
+
|
16 |
+
# Original Model Card
|
17 |
+
|
18 |
+
|
19 |
+

|
20 |
+
|
21 |
+
I don't have anything else so you get a cursed cat image
|
22 |
+
|
23 |
+
# Basic info
|
24 |
+
This is [anthracite-org/stheno-filtered-v1.1](https://huggingface.co/datasets/anthracite-org/stheno-filtered-v1.1) over [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it)
|
25 |
+
|
26 |
+
It saw 76.6M tokens
|
27 |
+
|
28 |
+
This time it took 14 hours and i'm pretty sure i've been training with the wrong prompt template X-X
|
29 |
+
|
30 |
+
# Training config:
|
31 |
+
```
|
32 |
+
cutoff_len: 1024
|
33 |
+
dataset: stheno-3.4
|
34 |
+
dataset_dir: data
|
35 |
+
ddp_timeout: 180000000
|
36 |
+
do_train: true
|
37 |
+
finetuning_type: lora
|
38 |
+
flash_attn: auto
|
39 |
+
fp16: true
|
40 |
+
gradient_accumulation_steps: 8
|
41 |
+
include_num_input_tokens_seen: true
|
42 |
+
learning_rate: 5.0e-05
|
43 |
+
logging_steps: 5
|
44 |
+
lora_alpha: 64
|
45 |
+
lora_dropout: 0
|
46 |
+
lora_rank: 64
|
47 |
+
lora_target: all
|
48 |
+
lr_scheduler_type: cosine
|
49 |
+
max_grad_norm: 1.0
|
50 |
+
max_samples: 100000
|
51 |
+
model_name_or_path: unsloth/gemma-2-2b-it
|
52 |
+
num_train_epochs: 3.0
|
53 |
+
optim: adamw_8bit
|
54 |
+
output_dir: saves/Gemma-2-2B-Chat/lora/stheno
|
55 |
+
packing: false
|
56 |
+
per_device_train_batch_size: 2
|
57 |
+
plot_loss: true
|
58 |
+
preprocessing_num_workers: 16
|
59 |
+
quantization_bit: 4
|
60 |
+
quantization_method: bitsandbytes
|
61 |
+
report_to: none
|
62 |
+
save_steps: 100
|
63 |
+
stage: sft
|
64 |
+
template: gemma
|
65 |
+
use_unsloth: true
|
66 |
+
warmup_steps: 0
|
67 |
+
```
|